PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Imitation learning algorithms

multi-agent deep reinforcement learning for large-scale traffic signal control.

CoLight: Learning Network-level Cooperation for Traffic Signal Control

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

multi agent RL for traffic light control in Sumo using distributed PPO

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

Official code for "Expression is enough: Improving traffic signal control with advanced traffic state representation ".

Official code for "Knowledge intensive state design for traffic signal control"